In this survey, we specifically focus on HSI data classification (HSIC), which has achieved a phenomenal interest of the research community due to its broad applications in the areas of land use and land cover [1]}, [2]}, [3]}, [4]}, [5]}, environment monitoring and natural hazards detection [6]}, [7]}, vegetation mapping [8]}, [9]} and urban planning. HSIC methodologies exploit machine learning algorithms to perform the classification task [10]}, [11]}. These methods are outlined in various comprehensive reviews published during/in the last decade [12]}, [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}, [21]}. Nevertheless, continuous advancements in the field of Machine Learning provide improved methods from time to time. Deep learning (DL) models is one of such revolutionary advancements in machine learning that improved HSIC accuracy [22]}, [23]}, [24]}, [25]}.
